Duracell is seeking to improve its products and manufacturing systems through the development and deployment of innovative Machine Learning (ML) and Machine Vision (MV) solutions as part of its Automation Master Plan. This role is critical for shaping the company's technological future by enhancing efficiency, enabling automation, and improving product and process intelligence.
Requirements
- 5+ years of experience in machine learning and/or machine vision development
- Strong understanding of supervised/unsupervised learning, deep learning, CNNs, object detection, image segmentation, etc.
- Hands-on experience with ML/MV frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV, scikit-learn)
- Familiarity with MLOps tools and cloud platforms (e.g., AWS, Azure, GCP)
- Experience deploying models into production and managing lifecycle
- Experience in manufacturing, robotics, logistics, or industrial automation
- Experience developing solutions in programming languages such in python, .NET, and/or C++
Responsibilities
- Guide the design, development, and deployment of machine learning models and machine vision systems.
- Ensure best practices in data science, computer vision, MLOps, and model evaluation are followed.
- Drive the transition of prototypes into scalable, production-ready solutions.
- Work alongside our Controls and Industrial Technology teams to integrate solutions into existing manufacturing processes.
- Collaborate with cross-functional teams to identify and prioritize opportunities for ML/MV innovation.
- Lead the technical execution of strategic initiatives that leverage machine learning and vision technologies.
- Support change management and training efforts related to new tool and system rollouts.
Other
- Lead, mentor, and manage a small team of machine learning and computer vision engineers.
- Foster a collaborative and innovative team environment.
- Set clear goals, provide regular feedback, and support career growth.
- Define project scopes, timelines, and deliverables aligned with business goals.
- Communicate progress, risks, and dependencies to stakeholders and leadership.
